BLM

load required packages

require(readtext)

## Loading required package: readtext

require(LIWCalike)

## Loading required package: LIWCalike

require(quanteda)

## Loading required package: quanteda

## Package version: 2.1.2

## Parallel computing: 2 of 8 threads used.

## See https://quanteda.io for tutorials and examples.

## 
## Attaching package: 'quanteda'

## The following object is masked from 'package:utils':
## 
##     View

require(ggplot2)

## Loading required package: ggplot2

require(quanteda.textplots)

## Loading required package: quanteda.textplots

## 
## Attaching package: 'quanteda.textplots'

## The following objects are masked from 'package:quanteda':
## 
##     as.igraph, as.network, textplot_keyness, textplot_network,
##     textplot_wordcloud, textplot_xray

read in daily corpus

blm_daily <- readtext("~/Dropbox/blm/communitydaily/*")
blm_daily_corpus <- corpus(blm_daily)

load standard liwc dictionary and run on daily corpus

liwcdic <- dictionary(file = "liwcdict.dic")

## note: ignoring parenthetical expressions in lines:

##   [line 77] (53) like*   30

##   [line 80] (could not) like 30  31

##   [line 81] (did not) like   30  31

##   [line 82] (did) like   30  31

##   [line 83] (didn't) like    30  31

##   [line 84] (discrep) like*  31

##   [line 85] (do not) like    30  31

##   [line 86] (do) like    30  31

##   [line 87] (does not) like  30  31

##   [line 88] (does) like  30  31

##   [line 89] (doesn't) like   30  31

##   [line 90] (don't) like 30  31

##   [line 91] (i) like*    20  30  31

##   [line 92] (should not) like    30  31

##   [line 93] (they) like* 20  30  31

##   [line 94] (we) like*   20  30  31

##   [line 95] (will not) like  30  31

##   [line 96] (will) like  30  31

##   [line 97] (won't) like 30  31

##   [line 98] (would not) like 30  31

##   [line 99] (you) like*  20  30  31

output1 <- liwcalike(blm_daily_corpus, liwcdic)

## Warning in nsentence.character(x): nsentence() does not correctly count
## sentences in all lower-cased text

## Warning: 'remove_hyphens' is deprecated, use 'split_hyphens' instead.

write.csv(output1, file = "blm_daily_liwc.csv")

load moral foundations dictionary and run on daily corpus

mftdic <- dictionary(file = "mft.dic")
output2 <- liwcalike(blm_daily_corpus, mftdic)

## Warning in nsentence.character(x): nsentence() does not correctly count
## sentences in all lower-cased text

## Warning: 'remove_hyphens' is deprecated, use 'split_hyphens' instead.

write.csv(output2, file = "blm_daily_mft.csv")

#load morality-as-cooperation dictionary and run on daily corpus
macvirtuedic <- dictionary(file = "macdvirtue.dic")
output3 <- liwcalike(blm_daily_corpus, macvirtuedic)

## Warning in nsentence.character(x): nsentence() does not correctly count
## sentences in all lower-cased text

## Warning: 'remove_hyphens' is deprecated, use 'split_hyphens' instead.

write.csv(output3, file = "blm_daily_macvirtue.csv")

combine these outputs in excel and save as blm_daily_community.csv

Read the liwcalike output back in

data <- read.csv("blm_daily_community.csv")

plot daily time-course, broken down by community, of word counts

ggplot(data, aes(day, WC, colour = community)) + scale_color_manual(values=c("#4daf4a", "#377eb8", "#984ea3", "#e41a1c")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "word count") + geom_smooth(se = TRUE, span = .09) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal")) + scale_y_continuous(labels=function(n){format(n, scientific = FALSE)})

## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

time series for some relevant liwc dictionaries and custom dictionaries

ggplot(data, aes(day, Posemo, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + ylim(c(0, 8)) + labs(x = "day", y = "positive emotion") + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 7 rows containing non-finite values (stat_smooth).

## Warning: Removed 7 rows containing missing values (geom_point).

ggplot(data, aes(day, Anx, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "anxiety") + ylim(c(0, 1)) + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 11 rows containing non-finite values (stat_smooth).

## Warning: Removed 11 rows containing missing values (geom_point).

## Warning: Removed 13 rows containing missing values (geom_smooth).

ggplot(data, aes(day, Anger, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "anger") + ylim(c(0, 5)) + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 9 rows containing non-finite values (stat_smooth).

## Warning: Removed 9 rows containing missing values (geom_point).

ggplot(data, aes(day, Sad, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "sadness") + ylim(c(0, 1)) + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 14 rows containing non-finite values (stat_smooth).

## Warning: Removed 14 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_smooth).

ggplot(data, aes(day, I, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "first-person singular") + ylim(c(0, 5)) + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 11 rows containing non-finite values (stat_smooth).

## Warning: Removed 11 rows containing missing values (geom_point).

ggplot(data, aes(day, We, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "first-person plural") + ylim(c(0, 3)) + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 15 rows containing non-finite values (stat_smooth).

## Warning: Removed 15 rows containing missing values (geom_point).

ggplot(data, aes(day, You, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "second-person") + ylim(c(0, 4.5)) + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 12 rows containing non-finite values (stat_smooth).

## Warning: Removed 12 rows containing missing values (geom_point).

ggplot(data, aes(day, Percept, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "perception") + ylim(c(0, 10)) + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 21 rows containing non-finite values (stat_smooth).

## Warning: Removed 21 rows containing missing values (geom_point).

ggplot(data, aes(day, Swear, colour = community)) + scale_color_manual(values=c("green", "blue", "yellow", "red")) + geom_point() + geom_vline(xintercept = 233) + labs(x = "day", y = "swears") + ylim(c(0, 3)) + geom_smooth(se = TRUE, method = loess) + theme(legend.position = c(.3, .97), legend.background = element_rect(fill = "transparent"), legend.title = element_blank()) + guides(color = guide_legend(direction = "horizontal"))

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 6 rows containing non-finite values (stat_smooth).

## Warning: Removed 6 rows containing missing values (geom_point).

read in hashtag corpus, broken down by community. Transform into a corpus, then into a document feature matrix.

hashtagscom <- readtext("~/Dropbox/blm/hashtagsbycommunity/*")
hashtagscom_corpus <- corpus(hashtagscom)
dfmat_hashtagscom <- dfm(hashtagscom_corpus, remove_punct = TRUE)

set random seed, then plot a comparison wordcloud of the four communities

set.seed(100)
textplot_wordcloud(dfmat_hashtagscom, min_size = 1, max_size = 6, min_count = 6, comparison = TRUE, labelsize = .6, labeloffset = 0, random_order = FALSE, rotation = 0.25,color = RColorBrewer::brewer.pal(8, "Dark2"))

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## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## breonnataylorwasmurdered could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## kkk could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## icantbreath could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## freeleonardpeltier could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## trumpsarmy could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## justiceforall could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## minneapolisriots could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## democraticparty could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## fuck12 could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## freerealitywinner could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## protest2020 could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## wwg1wga_worldwide could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## votebluetosaveamerica2020 could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## usarevolts could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## reparations could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## blackprivilege could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## womenfortrump could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## demcast could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## qanonworldwide could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## mag could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## voterid could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## saveวัน could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## blackwomenlivesmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## violencespolicieres could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## hillaryclinton could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## boycottnascar could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## startrekunited could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## dumptrump could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## flipthesenate could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## dontdie could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## digitalsoldiers could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## usaprotests could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## democratsdividinganddestroyingamerica could not be fit on page. It will not be
## plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## blackliesmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## anarchy could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## boycottaetv could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## policethepolice could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## stoppolicebrutality could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## latinos could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## ericgarner could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## millennials could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## hannity could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## usariots could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## truthmatters could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## racisminamerica could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## tcot could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## fascism could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## demilitarizethepolice could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## noantiblackracism could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## podcast could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## racialjustice could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## podsincolor could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## bluefamily could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## pandemic could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## blackowned could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## votered2020 could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## trumpisanationaldisgrace could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## terrorist could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## protests could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## share could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## defundmpd could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## deblasiomustgo could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## atlantapolice could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## dems could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## hypocrisy could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## brooklyn could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## postapocalyptic could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## stfuhillary could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## ap could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## scifi could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## breakingnews could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## antiracism could not be fit on page. It will not be plotted.

## Warning in wordcloud_comparison(x, min_size, max_size, min_count, max_words, :
## nascar could not be fit on page. It will not be plotted.

plot wordclouds for each of the four main communities as well

hashtagscom0 <- readtext("~/Dropbox/blm/hashtagsbycommunity/Activists.txt")
hashtagscom0_corpus <- corpus(hashtagscom0)
dfmat_hashtagscom0 <- dfm(hashtagscom0_corpus, remove_punct = TRUE)
textplot_wordcloud(dfmat_hashtagscom0, min_count = 6, min_size = 1, random_order = FALSE, rotation = 0.25, color = RColorBrewer::brewer.pal(8, "Dark2"))

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackdisabledlivesmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## enoughisenough could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## nojusticenopeaceprosecutethepolice could not be fit on page. It will not be
## plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justicefortonymcdade could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## elijahmcclainwasmurdered could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## emergencycrowdfund could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## peacefulprotest could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## juneteenthday could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## protectblackwomen could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## bunkerbabytrump could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackoutuesday could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## georgelloyd could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforsandrabland could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforvanessaguillen could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## whiteprivilege could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## twitterphilanthropy could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforelijah could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforkendrickjohnson could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## supportblackbusiness could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## orlandoprotests could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackvoicesheard could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## womenfortrump could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blacklgbtqlivesmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## nycprotest could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## allcountriesmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## racisminamerica could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackqueerlivesmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## oromoprotests could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## bunkerboydonnie could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## trumpmeltdown could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## kag2020 could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## startrekunitedgives could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## policereformnow could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackownedbusinesses could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## dominiquefells could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## retweet could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackcreatorsfund could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforgeogefloyd could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## drawingwhileblack could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## whiteoutwednesday could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackexcellence could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforbreonnatalyor could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## fascismhascometoamerica could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## raisethedegreee could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackisbeautiful could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## arrestthecopswhokilledbreonnataylor could not be fit on page. It will not be
## plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blacklivesmattteruk could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blacktranslivesmatters could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blacklivesstillmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## ldnblm could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## lavenajohnson could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforandresguardado could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## laprotests could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## wearedonedying could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforrayshardbrooks could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blmbelgium could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## losangelesprotest could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## breonnataylorskillersarefree could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## vanessaguillen could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackpower could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blacklivesmatteraustralia could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## priscillaslater could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## braylastone could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## newprofilepic could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforjayarajandfenix could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## elseñorjewelry could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## londonprotest could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## georgesfloyd could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## toyinsalau could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## justiceforjeyarajandfenix could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## thisisamerica could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## elseñorskate could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## ahmaudaubrey could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blacklivesmatter757 could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## blackgirlmagic could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## iyannadior could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## portlandprotests could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## equality could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## detroit could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## brooklyn could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## pvprotest could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## bluelinefamily could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## papuanlivesmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## indigenouslivesmatter could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, : nypd
## could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## dcblackout could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## policefamily could not be fit on page. It will not be plotted.

## Warning in wordcloud(x, min_size, max_size, min_count, max_words, color, :
## oromorevolution could not be fit on page. It will not be plotted.

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hashtagscom1 <- readtext("~/Dropbox/blm/hashtagsbycommunity/Democrats.txt")
hashtagscom1_corpus <- corpus(hashtagscom1)
dfmat_hashtagscom1 <- dfm(hashtagscom1_corpus, remove_punct = TRUE)
textplot_wordcloud(dfmat_hashtagscom1, min_count = 6, min_size = 1, random_order = FALSE, rotation = 0.25, color = RColorBrewer::brewer.pal(8, "Dark2"))

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hashtagscom2 <- readtext("~/Dropbox/blm/hashtagsbycommunity/MAGA.txt")
hashtagscom2_corpus <- corpus(hashtagscom2)
dfmat_hashtagscom2 <- dfm(hashtagscom2_corpus, remove_punct = TRUE)
textplot_wordcloud(dfmat_hashtagscom2, min_count = 6, min_size = 1, random_order = FALSE, rotation = 0.25, color = RColorBrewer::brewer.pal(8, "Dark2"))

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hashtagscom3 <- readtext("~/Dropbox/blm/hashtagsbycommunity/K-Pop.txt")
hashtagscom3_corpus <- corpus(hashtagscom3)
dfmat_hashtagscom3 <- dfm(hashtagscom3_corpus, remove_punct = TRUE)
textplot_wordcloud(dfmat_hashtagscom3, min_count = 6, min_size = 1, random_order = FALSE, rotation = 0.25, color = RColorBrewer::brewer.pal(8, "Dark2"))

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## plotted.

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Read in hashtag adjacency matrix. Break into four objects based on community membership.

data0 <- read.csv("hashemo-EXPERIMENTAL-COMM0-adjmatrix-top50.csv")
data1 <- read.csv("hashemo-EXPERIMENTAL-COMM1-adjmatrix-top50.csv")
data2 <- read.csv("hashemo-EXPERIMENTAL-COMM2-adjmatrix-top50.csv")
data3 <- read.csv("hashemo-EXPERIMENTAL-COMM3-adjmatrix-top50.csv")

Remove unwanted columns

data0$TW_ID <- NULL
data0$community <- NULL
data0$subcommunity <- NULL
data0$date <- NULL
data1$TW_ID <- NULL
data1$community <- NULL
data1$subcommunity <- NULL
data1$date <- NULL
data2$TW_ID <- NULL
data2$community <- NULL
data2$subcommunity <- NULL
data2$date <- NULL
data3$TW_ID <- NULL
data3$community <- NULL
data3$subcommunity <- NULL
data3$date <- NULL

Re-order each data object so that columns are in decreasing order by sum. This puts the most common emoji first and lets you work only with them.

data0 <- data0[, order(colSums(-data0))]
data0 <- data0[,1:99]
data1 <- data1[, order(colSums(-data1))]
data1 <- data1[,1:100]
data2 <- data2[, order(colSums(-data2))]
data2 <- data2[,1:99]
data3 <- data3[, order(colSums(-data3))]
data3 <- data3[,1:100]

transform each data object into a matrix. Construct the transpose of each matrix. Multiple each matrix by its transpose. Then write the output to a csv file for visualization in Gephi.

M0 <- data.matrix(data0)
T0 <- t(M0)
adjacency0 <- (T0 %*% M0)
write.csv(adjacency0, file="blmhashtagemojiadjacency0.csv")
M1 <- data.matrix(data1)
T1 <- t(M1)
adjacency1 <- (T1 %*% M1)
write.csv(adjacency1, file="blmhashtagemojiadjacency1.csv")
M2 <- data.matrix(data2)
T2 <- t(M2)
adjacency2 <- (T2 %*% M2)
write.csv(adjacency2, file="blmhashtagemojiadjacency2.csv")
M3 <- data.matrix(data3)
T3 <- t(M3)
adjacency3 <- (T3 %*% M3)
write.csv(adjacency3, file="blmhashtagemojiadjacency3.csv")